PGR: A Novel Graph Repository of Protein 3D-Structures

Wajdi Dhifli, Abdoulaye Baniré Diallo
{"title":"PGR: A Novel Graph Repository of Protein 3D-Structures","authors":"Wajdi Dhifli, Abdoulaye Baniré Diallo","doi":"10.4172/2153-0602.1000172","DOIUrl":null,"url":null,"abstract":"Graph theory and graph mining constitute rich fields of computational techniques to study the structures, topologies and properties of graphs. These techniques constitute a good asset in bioinformatics if there exist efficient methods for transforming biological data into graphs. In this paper, we present Protein Graph Repository (PGR), a novel database of protein 3D-structures transformed into graphs allowing the use of the large repertoire of graph theory techniques in protein mining. This repository contains graph representations of all currently known protein 3D-structures described in the Protein Data Bank (PDB). PGR also provides an efficient online converter of protein 3Dstructures into graphs, biological and graph-based description, pre-computed protein graph attributes and statistics, visualization of each protein graph, as well as graph-based protein similarity search tool. Such repository presents an enrichment of existing online databases that will help bridging the gap between graph mining and protein structure analysis. PGR data and features are unique and not included in any other protein database. The repository is available at http://wjdi.bioinfo. uqam.ca/","PeriodicalId":15630,"journal":{"name":"Journal of Data Mining in Genomics & Proteomics","volume":"36 1","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2015-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Data Mining in Genomics & Proteomics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4172/2153-0602.1000172","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

Graph theory and graph mining constitute rich fields of computational techniques to study the structures, topologies and properties of graphs. These techniques constitute a good asset in bioinformatics if there exist efficient methods for transforming biological data into graphs. In this paper, we present Protein Graph Repository (PGR), a novel database of protein 3D-structures transformed into graphs allowing the use of the large repertoire of graph theory techniques in protein mining. This repository contains graph representations of all currently known protein 3D-structures described in the Protein Data Bank (PDB). PGR also provides an efficient online converter of protein 3Dstructures into graphs, biological and graph-based description, pre-computed protein graph attributes and statistics, visualization of each protein graph, as well as graph-based protein similarity search tool. Such repository presents an enrichment of existing online databases that will help bridging the gap between graph mining and protein structure analysis. PGR data and features are unique and not included in any other protein database. The repository is available at http://wjdi.bioinfo. uqam.ca/
PGR:一种新的蛋白质三维结构图存储库
图论和图挖掘构成了研究图的结构、拓扑和性质的计算技术的丰富领域。如果存在将生物数据转换成图形的有效方法,这些技术将构成生物信息学中的一笔好资产。在本文中,我们提出了蛋白质图库(PGR),这是一个将蛋白质3d结构转换成图的新数据库,允许在蛋白质挖掘中使用大量图论技术。该存储库包含蛋白质数据库(PDB)中描述的所有当前已知的蛋白质3d结构的图形表示。PGR还提供了一个高效的蛋白质三维结构在线转换成图形,生物和基于图形的描述,预先计算的蛋白质图形属性和统计,每个蛋白质图形的可视化,以及基于图形的蛋白质相似度搜索工具。这样的存储库丰富了现有的在线数据库,将有助于弥合图挖掘和蛋白质结构分析之间的差距。PGR数据和特征是独一无二的,不包括在任何其他蛋白质数据库中。该存储库可从http://wjdi.bioinfo获得。uqam.ca /
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信